most citedCut to the Mix: Simple Data Augmentation Outperforms Elaborate Ones in Limited Organ Segmentation Datasets

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eess.IV2025

Novel-view X-ray Projection Synthesis through Geometry-Integrated Deep Learning

Daiqi Liu, Fuxin Fan, Andreas Maier

X-ray imaging plays a crucial role in the medical field, providing essential insights into the internal anatomy of patients for diagnostics, image-guided procedures, and clinical d…

eess.IV2025★ 1 cited

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge

Yudi Sang, Yanzhen Liu, Sutuke Yibulayimu +33

The segmentation of pelvic fracture fragments in CT and X-ray images is crucial for trauma diagnosis, surgical planning, and intraoperative guidance. However, accurately and effici…